Cover Image

MORCoRA: Multi-Objective Refactoring Recommendation Considering Review Availability

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Lei, Hayashi, Shinpei
Format:	Preprint
Published:	2024
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

How Much Can a Behavior-Preserving Changeset Be Decomposed into Refactoring Operations?
by: Someya, Kota, et al.
Published: (2025)

Understanding Code Change with Micro-Changes
by: Chen, Lei, et al.
Published: (2024)

ChangePrism: Visualizing the Essence of Code Changes
by: Chen, Lei, et al.
Published: (2025)

Toward Interactive Optimization of Source Code Differences: An Empirical Study of Its Performance
by: Yagi, Tsukasa, et al.
Published: (2024)

ICCheck: A Portable, Language-Agnostic Tool for Synchronizing Code Clones
by: Abe, Motoki, et al.
Published: (2025)

Revisiting Method-Level Change Prediction: A Comparative Evaluation at Different Granularities
by: Sugimori, Hiroto, et al.
Published: (2025)

RENAS: Prioritizing Co-Renaming Opportunities of Identifiers
by: Doi, Naoki, et al.
Published: (2024)

Search Budget in Multi-Objective Refactoring Optimization: a Model-Based Empirical Study
by: Di Pompeo, Daniele, et al.
Published: (2022)

In Search of Metrics to Guide Developer-Based Refactoring Recommendations
by: Robredo, Mikel, et al.
Published: (2024)

ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells
by: Nursapa, Samal, et al.
Published: (2025)

Many-Objective Optimization of Non-Functional Attributes based on Refactoring of Software Models
by: Cortellessa, Vittorio, et al.
Published: (2023)

Refactoring Detection in C++ Programs with RefactoringMiner++
by: Ritz, Benjamin, et al.
Published: (2025)

"Refactoring Runaway": Understanding and Mitigating Tangled Refactorings in Coding Agents for Issue Resolution
by: Tian, Zhao, et al.
Published: (2026)

SWE-Refactor: A Repository-Level Benchmark for Real-World LLM-Based Code Refactoring
by: Xu, Yisen, et al.
Published: (2026)

Multi-Agent Coordinated Rename Refactoring
by: Bellur, Abhiram, et al.
Published: (2026)

How to Refactor this Code? An Exploratory Study on Developer-ChatGPT Refactoring Conversations
by: AlOmar, Eman Abdullah, et al.
Published: (2024)

Multi-objective Software Architecture Refactoring driven by Quality Attributes
by: Di Pompeo, Daniele, et al.
Published: (2023)

Recommending Variable Names for Extract Local Variable Refactorings
by: Wang, Taiming, et al.
Published: (2025)

Automated Unit Test Refactoring
by: Gao, Yi, et al.
Published: (2024)

Deciphering Refactoring Branch Dynamics in Modern Code Review: An Empirical Study on Qt
by: AlOmar, Eman Abdullah
Published: (2024)

LLM-based Multi-Agent System for Intelligent Refactoring of Haskell Code
by: Siddeeq, Shahbaz, et al.
Published: (2025)

MANTRA: Enhancing Automated Method-Level Refactoring with Contextual RAG and Multi-Agent LLM Collaboration
by: Xu, Yisen, et al.
Published: (2025)

Assessing the Bug-Proneness of Refactored Code: A Longitudinal Multi-Project Study
by: Ferreira, Isabella, et al.
Published: (2025)

An Empirical Study of Refactoring Engine Bugs
by: Wang, Haibo, et al.
Published: (2024)

Distributed Approach to Haskell Based Applications Refactoring with LLMs Based Multi-Agent Systems
by: Siddeeq, Shahbaz, et al.
Published: (2025)

Refactoring-aware Block Tracking in Commit History
by: Hasan, Mohammed Tayeeb, et al.
Published: (2024)

How do Agents Refactor: An Empirical Study
by: Ottenhof, Lukas, et al.
Published: (2026)

Foundation Models as Oracles for Refactoring Correctness Detection
by: Gheyi, Rohit, et al.
Published: (2026)

Code Clone Refactoring in C# with Lambda Expressions
by: Kawamoto, Takuto, et al.
Published: (2025)

An Empirical Study on the Potential of LLMs in Automated Software Refactoring
by: Liu, Bo, et al.
Published: (2024)

Impermanent Identifiers: Enhanced Source Code Comprehension and Refactoring
by: Guerra, Eduardo Martins, et al.
Published: (2024)

Refactoring Towards Microservices: Preparing the Ground for Service Extraction
by: Peixoto, Rita, et al.
Published: (2025)

RefModel: Detecting Refactorings using Foundation Models
by: Simões, Pedro, et al.
Published: (2025)

Bugs in the Shadows: Static Detection of Faulty Python Refactorings
by: Oliveira, Jonhnanthan, et al.
Published: (2025)

An Empirical Study on the Code Refactoring Capability of Large Language Models
by: Cordeiro, Jonathan, et al.
Published: (2024)

Preference-Guided Refactored Tuning for Retrieval Augmented Code Generation
by: Gao, Xinyu, et al.
Published: (2024)

Dissect-and-Restore: AI-based Code Verification with Transient Refactoring
by: Wang, Changjie, et al.
Published: (2025)

The Role of the Retrospective Meetings in Detecting, Refactoring and Monitoring Community Smells
by: Dantas, Carlos, et al.
Published: (2025)

Evaluating the Effectiveness of Small Language Models in Detecting Refactoring Bugs
by: Gheyi, Rohit, et al.
Published: (2025)

ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts
by: AlOmar, Eman Abdullah, et al.
Published: (2025)